code: def forward(self, x):
      *_, h, w = x.shape
      assert divisible_by(h, self.region_patch_size) and divisible_by(
          w, self.region_patch_size
      ), "height and width must be divisible by region patch size"
      assert divisible_by(h, self.local_patch_size) and divisible_by(
          w, self.local_patch_size
      ), "height and width must be divisible by local patch size"
  
      local_tokens = self.local_encoder(x)
      region_tokens = self.region_encoder(x)
  
      for down, peg, transformer in self.layers:
          local_tokens, region_tokens = down(local_tokens), down(
              region_tokens
          )
          local_tokens = peg(local_tokens)
          local_tokens, region_tokens = transformer(
              local_tokens, region_tokens
          )
  
      return self.to_logits(region_tokens)
  
imports: import torch
  from torch import nn, einsum
  from einops import rearrange
  from einops.layers.torch import Rearrange, Reduce
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the RegionViT obj's underlying member method code with example usage: obj.forward(x) and returns: self